Literature DB >> 23973547

Emission inventories and modeling requirements for the development of air quality plans. Application to Madrid (Spain).

Rafael Borge1, Julio Lumbreras, Javier Pérez, David de la Paz, Michel Vedrenne, Juan Manuel de Andrés, Ma Encarnación Rodríguez.   

Abstract

Modeling is an essential tool for the development of atmospheric emission abatement measures and air quality plans. Most often these plans are related to urban environments with high emission density and population exposure. However, air quality modeling in urban areas is a rather challenging task. As environmental standards become more stringent (e.g. European Directive 2008/50/EC), more reliable and sophisticated modeling tools are needed to simulate measures and plans that may effectively tackle air quality exceedances, common in large urban areas across Europe, particularly for NO₂. This also implies that emission inventories must satisfy a number of conditions such as consistency across the spatial scales involved in the analysis, consistency with the emission inventories used for regulatory purposes and versatility to match the requirements of different air quality and emission projection models. This study reports the modeling activities carried out in Madrid (Spain) highlighting the atmospheric emission inventory development and preparation as an illustrative example of the combination of models and data needed to develop a consistent air quality plan at urban level. These included a series of source apportionment studies to define contributions from the international, national, regional and local sources in order to understand to what extent local authorities can enforce meaningful abatement measures. Moreover, source apportionment studies were conducted in order to define contributions from different sectors and to understand the maximum feasible air quality improvement that can be achieved by reducing emissions from those sectors, thus targeting emission reduction policies to the most relevant activities. Finally, an emission scenario reflecting the effect of such policies was developed and the associated air quality was modeled.
© 2013.

Entities:  

Keywords:  Emission inventory; Madrid; Modeling; NO(2); SMOKE; Urban air quality

Mesh:

Substances:

Year:  2013        PMID: 23973547     DOI: 10.1016/j.scitotenv.2013.07.093

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Modeling of air pollutant concentrations in an industrial region of Turkey.

Authors:  Gizem Tuna Tuygun; Hicran Altuğ; Tolga Elbir; Eftade E Gaga
Journal:  Environ Sci Pollut Res Int       Date:  2017-02-03       Impact factor: 4.223

2.  WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data.

Authors:  Taciana Toledo de Almeida Albuquerque; Maria de Fátima Andrade; Rita Yuri Ynoue; Davidson Martins Moreira; Willian Lemker Andreão; Fábio Soares Dos Santos; Erick Giovani Sperandio Nascimento
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-29       Impact factor: 4.223

3.  Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid.

Authors:  Ditsuhi Iskandaryan; Francisco Ramos; Sergio Trilles
Journal:  PLoS One       Date:  2022-06-01       Impact factor: 3.752

4.  Unexpected increase in the oxidation capacity of the urban atmosphere of Madrid, Spain.

Authors:  A Saiz-Lopez; R Borge; A Notario; J A Adame; D de la Paz; X Querol; B Artíñano; F J Gómez-Moreno; C A Cuevas
Journal:  Sci Rep       Date:  2017-04-11       Impact factor: 4.379

  4 in total

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